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R Jelliffe

Publications and source records attributed to R Jelliffe.

10 recordsLinked to original sources

Creating discrete joint densities from continuous ones: the moment matching-maximum entropy approach.

An approach for converting continuous densities into discrete ones with a pre-assigned set of support points is developed. The algorithm performs this conversion in a most skeptical, least-informative way, by finding the discrete distribution with the maximum entropy that satisfies a set of moment constraints derived from the stated continuous distribution, such as means and variances. Individualized drug therapies based on multiple model control rely on the availability of discrete distributions to generate the underlying model set. The methods developed herein are especially compatible with individualized drug therapies based on multiple model control that rely on the availability of discrete densities to generate the model set.

Absorption↗

Population pharmacokinetics and use of Monte Carlo simulation to evaluate currently recommended dosing regimens of ciprofloxacin in adult patients with cystic fibrosis.

Pharmacodynamic data on ciprofloxacin indicate that a target area under the concentration-time curve from 0 to 24 h (AUC(0-24))/MIC ratio of >or=125 is necessary to achieve optimal bactericidal activity for the treatment of gram-negative pneumonia. The purpose of this prospective study was to (i) develop a pharmacokinetic (PK) model to be utilized for therapeutic drug monitoring (TDM) of ciprofloxacin and (ii) evaluate current ciprofloxacin dosing regimens for pneumonias in cystic fibrosis (CF) patients. Twelve adult CF patients received a single 400-mg dose of IV ciprofloxacin. Six blood samples were obtained over a 12-h interval. Serum drug concentrations were determined by high-pressure liquid chromotography and were fitted to one- and two-compartment models by using NPEM2. Ciprofloxacin MIC data for Pseudomonas aeruginosa were obtained from 1,213 CF patients enrolled in a large clinical trial. A Monte Carlo simulation was performed to estimate the fractional attainment of an AUC(0-24)/MIC ratio of >or=125. A two-compartment model best describes the serum drug concentration data. The mean fitted PK parameter values are volume of distribution in the central compartment, 0.29 liter/kg; volume of distribution at steady state, 1.1 liters/kg; total clearance, 0.34 liter/h/kg; distributional clearance, 0.89 liter/h/kg; half-life at alpha phase, 0.16 h; and half-life at beta phase, 2.9 h. The overall fractional attainment of achieving an AUC(0-24)/MIC ratio of >or=125 against P. aeruginosa isolates with ciprofloxacin (400 mg every 12 h [q12h] and 8 qh) were 10 and 30%, respectively. A clinical breakpoint MIC of <0.5 microg/ml for susceptibility is suggested, based on an examination of the fractional attainment of the AUC(0-24)/MIC target at each MIC. The recommended doses of 400 mg q8h or q12h may be inadequate to treat an acute pulmonary exacerbation when given alone. The poor and variable AUC(0-24)/MIC ratios support the use of TDM to monitor and adjust the dosage to optimize the efficacy of ciprofloxacin therapy in these patients.

Adult↗

Comparative pharmacokinetics and pharmacodynamics of the newer fluoroquinolone antibacterials.

A number of new fluoroquinolone antibacterials have been released for clinical use in recent years. These new agents exhibit enhanced activity against Gram-positive organisms while retaining much of the Gram-negative activity of the earlier agents within the same class. The pharmacokinetics of most of these agents are well described including serum pharmacokinetics, tissue and fluid distribution, and pharmacokinetics in renal and hepatic disease. When compared with earlier agents within this class (i.e. ciprofloxacin), the newer agents retain the wide distribution characteristics; however, they exhibit a more prolonged elimination, which, in part, supports single daily administration for these agents. Based on their predominant renal elimination, dosage adjustment is necessary in the presence of renal disease for ciprofloxacin, levofloxacin, gatifloxacin and sitafloxacin. Drug interactions, particularly with multivalent cations (calcium/aluminium-containing antacids and iron products), remain a problem for the newer agents, resulting in reduced absorption requiring separate administration times to maximise bioavailability. However, the newer agents do not appear to interfere significantly with the cytochrome P450 system, thus minimising the potential for interactions with other drugs metabolised by this system. The pharmacodynamic properties of the fluoroquinolones have been well described. The bactericidal activity is maximised when the ratios of peak plasma drug concentration (Cmax): minimum inhibitory concentrations (MIC) or area under the concentration-time curve (AUC): MIC exceed specific threshold values. Knowledge of the pharmacodynamic relationships allows for appropriate drug selection and enables design of dosage regimens to maximise the bactericidal activity. Therapeutic drug monitoring of the fluoroquinolones may provide a means of optimising the dosage regimen in certain clinical situations (that is, meningitis and hospitalised pneumonias) with the goals of achieving a more predictable therapeutic response and minimising the potential for the development of resistance.

Anti-Infective Agents↗

Renal elimination of amikacin and the aging process.

OBJECTIVE: Although amikacin is primarily eliminated via glomerular filtration, drug concentrations are not consistently predicted in all patients. To better describe the relationship between amikacin clearance and both age and renal function, we used a new heuristic approach involving statistical analysis of dependence. DESIGN AND SETTING: Retrospective pharmacokinetic study using data from seven centres in France. PARTICIPANTS: 634 patients with sepsis aged between 18 and 98 years of age who received intravenous amikacin. METHODS: Clearance of amikacin was modelled using the NonParametric EM algorithm for a two-compartment model (NPEM2) with intravenous infusion. RESULTS: A total of 2499 serum amikacin determinations was available for analysis. The relationship between the clearance of amikacin and age was weak. Interestingly, the Z method, which filters data based on dependence criteria, selected data that were best fitted by a polynomial function (r = 0.90; p < 0.001). This representation of the polynomial function was similar to a previously proposed theoretical model describing covariations between the clearance of amikacin and age. However, the polynomial function applied to only 33% of the patients that were selected by the Z method. The correlation between the clearance of amikacin and renal function was also relatively low (r = 0.39). The Z method exhibited a continuous and strong dependence pattern between the clearance of amikacin and age for 49% of the patients. CONCLUSIONS: The Z methodology, which filters data using dependence criteria, confirms that age, renal function and amikacin clearance are strongly related, but only in less than half of a large sample of patients with sepsis without renal pathology. These results suggest that other variables should be taken into account in order to improve the description of the behaviour of amikacin. The Z methodology improved the classical description of relationships between variables, and should be applied to better select pertinent variables in pharmacokinetic studies.

Adult↗

Diurnal changes in the pharmacokinetic behavior of amikacin.

This retrospective study evaluated possible differences in the pharmacokinetic behavior of amikacin between the morning (AM) and evening (PM). Of 634 patients receiving amikacin therapy, 17 received a dose every 12 hours (an i.v. infusion at 8:00 AM and 8:00 PM) with amikacin serum levels obtained after both the AM and PM infusions. Pharmacokinetic parameter values were estimated by the nonparametric EM algorithm (USC*PACK clinical software) for a one-compartment model. All patient data were analyzed in three ways. The parameter values were estimated by fitting the model first only to the serum levels drawn following the AM dose; second, only to the data following the PM dose; and third, to all serum levels (AM + PM). Parameter values found were (mean, median, SD respectively): AM: Kel = 0.181114 h(-1), 0.224460 h(-1), 0.058820 h(-1); Vol = 23.657507 L; 23.376231 L; 1.353253 L; Cl = 4.326720 L x h(-1), 5.303726 L x h(-1), 1.447731 L x h(-1); PM: Kel = 0.110151 h(-1); 0.121295 h(-1); 0.016860 h(-1); Vol = 28.948043 L; 24.091703 L; 9.266628 L; Cl = 3.081761 L x h(-1), 2.810615 L x h(-1); 0.705874 L x h(-1); AM + PM: Kel = 0.165321 h(-1); 0.131796 h(-1); 0.075425 h(-1); Vol = 25.479043 L; 26.187970 L; 5.367054 L. These findings are in agreement with the known diurnal rhythm of glomerular filtration rate. Because pharmacokinetic parameter values are most often estimated using AM data, this may lead to an overevaluation of these values compared with PM or to values for the entire day. The resulting drug regimens may therefore be overestimated regarding the elimination rate constant and underestimated regarding the volume of distribution.

Adult↗

Goal-oriented, model-based drug regimens: setting individualized goals for each patient.

Serum drug concentrations have commonly been described in terms of therapeutic ranges within which most patients have a therapeutic effect and a low incidence of toxicity. However, truly individualized drug dosage regimens cannot be developed without first setting a specific individualized target goal, such as a target serum drug concentration, at a desired target time after the dose (usually at a peak or trough), for each patient. For example, it is well known that the dosage of digoxin, or of any drug with a narrow therapeutic range, should somehow be individualized. One can begin this process by considering each patient as an individual, with his/her own individual need for the drug. If the need is small, so is the upper acceptable risk of toxicity. This would lead to a gently regimen, adjusted to the patient's body weight and renal function, to best achieve that specific target goal. Alternatively, if previous therapy has not sufficed and a significant or urgent need exists, then a higher goal may justifiably be selected, a greater risk of toxicity accepted, and a dosage regimen developed to meet that greater need. After such an individualized target goal is chosen, it should be achieved as precisely as possible. After the regimen is given, serum levels need to be measured and an individualized, patient-specific pharmacokinetic model should be made. Without the model, with only the raw serum level data, one cannot perceive the important exchanges that occur between serum and nonserum compartments of the drug, and we lack the precision given by the combination of the assay and the model to evaluate properly, optimally, the patient's clinical sensitivity to the drug. These concepts have been discussed here for digoxin, but they are general and apply to all drugs. This approach has also been applied to therapy with aminoglycoside antibiotics, vancomycin, lidocaine, theophylline, antiviral agents, a variety of anesthetic agents, psychiatric drugs, and anticancer agents.

Cardiotonic Agents↗

Achieving target goals most precisely using nonparametric compartmental models and "multiple model" design of dosage regimens.

Multiple model (MM) design and stochastic control of dosage regimens permit essentially full use of all the information contained in either a Bayesian prior nonparametric EM (NPEM) population pharmacokinetic model or in an MM Bayesian posterior updated parameter set, to achieve and maintain selected therapeutic goals with optimal precision (least predicted weighted squared error). The regimens are visibly more precise in the achievement of desired target goals than are current methods using mean or median population parameter values. Bayesian feedback has now also been incorporated into the MM software. An evaluation of MM dosage design using an NPEM population model versus dosage design based on conventional mean population parameter values is presented, using a population model of vancomycin. Further feedback control was also evaluated, incorporating realistic simulated uncertainties in the clinical environment such as those in the preparation and administration of doses.

Anti-Bacterial Agents↗

Population pharmacokinetics/pharmacodynamics modeling: parametric and nonparametric methods.

As clinicians acquire experience with the clinical and pharmacokinetic behavior of a drug, it is usually optimal to record this experience in the form of a population pharmacokinetic model, and then to relate the behavior of the model to the clinical effects of the drug or to a linked pharmacodynamic model. The role of population modeling is thus to describe and record clinical experience with the behavior of a drug in a certain group or population of patients or subjects.

Algorithms↗

Prediction of future serum concentrations with Bayesian fitted pharmacokinetic models: results with data collected by nurses versus trained pharmacy residents.

Recording the times of dosage administration and serum sampling by trained personnel resulted in significantly greater adherence to the protocol of therapeutic drug monitoring and in significantly greater precision in the achievement of desired serum concentration goals of aminoglycoside therapy than when relatively untrained personnel recorded it as a comparatively unemphasized part of their job. This was true even when only data of peak and trough serum concentrations were used. This study demonstrates that thoughtful data collection by appropriately trained nursing, pharmacy, or other clinical personnel is an essential part of therapeutic drug monitoring and plays a significant role in the optimal individualization of drug dosage regimens for patient care.

Aged↗

Effect of an oral dose of 25-hydroxyvitamin D3 on its blood levels in patients with the nephrotic syndrome.

Patients with the nephrotic syndrome have low blood levels of 25-hydroxyvitamin D3 (25OHD3) due to urinary losses of the sterol. It is not known whether supplementation of this metabolite could raise its blood levels in these patients. The changes in the plasma levels of 25OHD3 and its kinetic behavior were studied after an oral dose of the sterol (200 microgram) in patients with the nephrotic syndrome in an effort to evaluate the usefulness of oral therapy to achieve and maintain normal blood levels of 25OHD3. Normal subjects served as controls. The results showed that intestinal absorption of 25OHD3 is significantly delayed and its elimination rate is significantly enhanced in patients with the nephrotic syndrome compared to control subjects. Despite these abnormalities, the plasma levels of 25OHD3 were within normal values even 48 h after the ingestion of the sterol. These data indicate that oral therapy with 25OHD3 given in proper doses is adequate to maintain normal blood levels of the sterol in patients with the nephrotic syndrome. Therefore, a therapeutic approach could be designed to manage the target organ disease due to 25OHD3 deficiency seen in these patients.

Adult↗